Triple

T22572055
Position Surface form Disambiguated ID Type / Status
Subject Coco Chanel (TV film) E558097 entity
Predicate productionCompany P490 FINISHED
Object Lux Vide NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lux Vide | Statement: [Coco Chanel (TV film), productionCompany, Lux Vide]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lux Vide
Context triple: [Coco Chanel (TV film), productionCompany, Lux Vide]
  • A. Lux Vide chosen
    Lux Vide is an Italian television and film production company known for creating popular drama and crime series.
  • B. Blu
    Blu is a popular electronic cigarette and vaping brand known for its range of rechargeable and disposable e-cigarette products.
  • C. Blu
    Blu is an American underground hip-hop rapper known for his introspective lyrics and acclaimed collaborations, particularly with producer Exile.
  • D. Blu
    Blu is a domesticated Spix's macaw who serves as the timid yet brave protagonist of the animated Rio film series.
  • E. Luma
    Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fe958e881909b58a5439f2c6a35 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:52 p.m.